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researcher

Sadeep Jayasumana

19 papers hereh-index 145.2k citations32 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author11

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CV13
  • cs.LG5
  • cs.IR1

identity via Semantic Scholar / OpenAlex

activity
20142024
most citedConditional Random Fields as Recurrent Neural Networks

2.4k citations · 2.8k across the 17 of their papers we have counts for

collaborators
Showing 2015Show all

3 papers · 1 filter

cs.CV2015

Prototypical Priors: From Improving Classification to Zero-Shot Learning

Saumya Jetley, Bernardino Romera-Paredes, Sadeep Jayasumana +1

Recent works on zero-shot learning make use of side information such as visual attributes or natural language semantics to define the relations between output visual classes and th…

cs.CV2015

Higher Order Conditional Random Fields in Deep Neural Networks

Anurag Arnab, Sadeep Jayasumana, Shuai Zheng +1

We address the problem of semantic segmentation using deep learning. Most segmentation systems include a Conditional Random Field (CRF) to produce a structured output that is consi…

cs.CV2015★ 2.4k cited

Conditional Random Fields as Recurrent Neural Networks

Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes +5

Pixel-level labelling tasks, such as semantic segmentation, play a central role in image understanding. Recent approaches have attempted to harness the capabilities of deep learnin…

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